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» A parameter-less genetic algorithm
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103
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HICSS
2006
IEEE
97views Biometrics» more  HICSS 2006»
15 years 9 months ago
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang...
82
Voted
ICRA
2006
IEEE
83views Robotics» more  ICRA 2006»
15 years 9 months ago
Torque Pattern Generation towards the Maximum Jump Height
— This paper discusses jumping pattern generation for a serial link robot in order to maximize its jump height under torque limitation. By applying a genetic algorithm (GA) for d...
Mitsuru Higashimori, Manabu Harada, Idaku Ishii, M...
119
Voted
IEEEICCI
2006
IEEE
15 years 9 months ago
Evolved Patterns of Connectivity in Associative Memory Models
This paper investigates possible connection strategies in sparsely connected associative memory models. This is interesting because real neural networks must have both efficient p...
Rod Adams, Lee Calcraft, Neil Davey
123
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Evolutionary Ensemble Creation and Thinning
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
Jared Sylvester, Nitesh V. Chawla
120
Voted
IJCNN
2006
IEEE
15 years 9 months ago
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition
- This paper presents a variable node-to-node-link neural network (VN2 NN) trained by real-coded genetic algorithm (RCGA). The VN2 NN exhibits a node-to-node relationship in the hi...
Sai-Ho Ling, F. H. Frank Leung, Hak-Keung Lam